A Study on the Factors Influencing Consumer Purchase Decision Under the Live-Streaming Sales Model

In recent years,with the rapid development and popularization of Internet information technology,many new media platforms have risen rapidly,and major e-commerce companies have begun to explore the mode of livestreaming.Especially during the COVID-19 pandemic,due to the lockdown,live-streaming has become an important means of economic development in many places.Owing to its remarkable characteristics of timeliness,entertainment,and interactivity,it has become the latest and trendiest sales mode of e-commerce channels,reflecting huge economic potential and commercial value.This article analyzes two models and their characteristics of live-streaming sales from a practical perspective.Based on this,it outlines consumer purchasing decisions and the factors that affect consumer purchasing decisions under the live-streaming sales model.Finally,it discusses targeted suggestions for using the live-streaming sales model to expand the consumer market,hoping to promote the healthy and steady development of the live-streaming sales industry.

Optimization of Electricity Purchase and Sales Strategies of Electricity Retailers under the Condition of Limited Clean Energy Consumption

In the process of my country’s energy transition,the clean energy of hydropower,wind power and photovoltaic power generation has ushered in great development,but due to the randomness and volatility of its output,it has caused a certain waste of clean energy power generation resources.Regarding the purchase and sale of electricity by electricity retailers under the condition of limited clean energy consumption,this paper establishes a quantitative model of clean energy restricted electricity fromthe perspective of power system supply and demand balance.Then it analyzes the source-charge dual uncertain factors in the electricity retailer purchasing and selling scenarios in the mid-to long-term electricity market and the day-ahead market.Through the multi-scenario analysis method,the uncertain clean energy consumption and the user’s power demand are combined to form the electricity retailer’s electricity purchase and sales scene,and the typical scene is obtained by using the hierarchical clustering algorithm.This paper establishes a electricity retailer’s risk decisionmodel for purchasing and selling electricity in themid-and long-term market and reduce-abandonment market,and takes the maximum profit expectation of the electricity retailer frompurchasing and selling electricity as the objective function.At the same time,in themediumand longterm electricity market and the day-ahead market,the electricity retailer’s purchase cost,electricity sales income,deviation assessment cost and electricity purchase and sale risk are considered.The molecular results show that electricity retailers can obtain considerable profits in the reduce-abandonment market by optimizing their own electricity purchase and sales strategies,on the premise of balancing profits and risks.

Consumers'Purchase Intention of Geographical Indication Agricultural Products under the Background of Live-streaming Sales:An Exploratory Research Based on Grounded Theory

Exploring the mechanism for the formation of consumer purchase intentions of geographical indication agricultural products in the context of live-streaming sales can provide an important reference for brand marketing of geographical indication agricultural products.In this study,in-depth interviews were conducted with consumers of geographical indication agricultural products.Based on grounded theory,open coding,axial coding and selective coding were performed for interview text.Finally,21 concepts,7 subcategories and 3 main categories were obtained,and a model of the formation mechanism of the purchase intention of geographical indication agricultural products under the background of live-streaming sales was constructed,that is,"consumer cognition-consumer attitude-consumer behavior".Among them,consumer cognition includes two dimensions:the type of geographical indication agricultural products and the live-streaming appeal strategy,i.e.,the personal cognition of consumer and the promotion of live-streaming host's strategy.Consumer attitude is value perception of consumers,mainly including two dimensions of functional value and emotional value.Consumer behavior is the consumer's willingness to buy.It has been concluded that the types of geographical indication agricultural products interact with the live-streaming appeal strategies.Through the intermediary of consumers'value perception,consumers'purchase intention is generated.Among them,resource-oriented geographical indication agricultural products adopt rational live-streaming appeal strategies,which can enhance the consumer's perception of functional value,thereby promoting their purchase intention;and cultural and creative geographical indication agricultural products brands adopt perceptual live-streaming appeal strategies,which can enhance the emotional value perception of consumers,thereby promoting their purchase intention.

The Genoese Commune Massari＇s Ledger of 1340： The First Computer Modeling Experience and Its Results

Since 1865, the scholars from different countries have been studying the Genoese Massari＇s ledger of 1340. The authors have used a fundamentally new approach when studying this famous register. The authors have also analyzed the full-scale financial processes （from registering the expenses of the commune to their coverage by revenue） instead of analyzing some separate transactions which could prove the presence of the double-entry when registering each economic fact. This becomes possible as a result of the reconstruction of medieval entries and registers in the form of a modem account and the construction of the computer model of the whole ledger of 1340. The model of the system is formed according to seven summits of the revenue of the commune, which are distributed upon many factors of registered expenses and united into 17 reporting points. The special attention is paid to the date of the transaction. The authors have found many answers to some questions which were mysteries before. The explanation is given to the sales of goods below the purchasing price and to the exchange of money with significant losses.

Application of optimal harvesting decision model to the analysis of Chinese forestry economic policy

This paper firstly extends the single period forest optimal harvesting decision model to infinite periods,in order to indicate how to determine the optimal rotation period aimed at maximizing forest revenue in all directions when repeat planting and harvesting trees on the same plot of earth till infinite future.The study also analyzes the influence of discounted rates,timber price,harvesting costs,planting costs,and tax on the determination of optimal rotation period;and how the optimal rotation period will change when we introduce the factors of continuously rising timber price and ecological revenue.Secondly,the authors introduce the intergenerational equity principle into the above model to design a resource-exploiting mode which satisfies bom the dynamic efficiency principle and the intergenerational equity principle.Last but not least,the research applies the above model to the analysis of Chinese forestry economic policy and explains the economic theory of institutions such as Government Purchasing Ecological Forest,Tree Compensation,and Forestry Subsidization,which provides a necessary theoretical foundation for future application of these new institutions.Besides,in regard to mis theoretical framework,the authors analyze the necessity of the Natural Forest Protection and Grain for Green projects which are currently being implemented in China.We also point out the emphasis of work to insure the project sustainable and successful.Finally,the research discusses the enterprise's incentive to over-the-quota harvesting and the government's means of restricting such behavior,which highlights the fact mat improved supervision and higher penalties are helpful in restricting over-the-quota harvesting.

Key Account： The Negotiating Process

This research plans to evaluate the changes and evolutions from the real world of key account management compared to literature review： How decisions are taken, what processes help to be successful on tenders, how to cooperate on a world basis, what methods facilitate conclusions. This work looks for a measure of evolution and changes during a negotiation process by KAM compared to existing literature research. Key account negotiators take strategic dimensions into account when starting a negotiation process. They measure the cost of negotiations, help their clients to position themselves properly, and develop partnerships. In general, researchers are more interested in organization and clients than in integrated processes. The process analysis is built on an in-depth analysis of Key Account Management （KAM） on three matters： an in-depth interview of 20 Key Account Managers from such companies as Air Liquide, Matra, Alcatel, GEC Alstom, Bull, EADS, PPG, an advertising agency and Omnicom on prospecting, partnerships, client’s effectiveness optimization, client’s qualification, lobbies, networks, international accounts. This research shows how KAM faces complex situations, how training and monitoring bring solutions to difficult situations, how information is managed through transparency relationships, TV shows, press media, information from shows and fairs, competitors evaluation. This work conceptualizes the KAM negotiation process and permits to managers to identify the different negotiation steps from their numerous mutual professional witnesses. The number of companies could have been larger, but we interviewed each salesperson in depth. Future work on key account salespeople should consider the following subjects： influence of KAM on tenders. Which ethical steps KAM can take with client companies to improve results. Innovation perception by clients is as a tool for success.

1+X证书背景下药品经营人才培养研究

目的探讨“1+X”证书背景下药品经营人才培养路径。方法以“药品购销”职业技能等级标准为指南,以“1+X”药品购销员考试内容为依据进行改革。结果修订和完善人才培养方案、课程标准,同时进行课程“三教”改革。结论“1+X”证书制度背景下进行药学专业(群)教育改革必要可行。

1+X证书背景下药品经营与管理专业三融通课程体系构建研究——以药品购销职业技能等级证书为例

“1+X”证书背景下,在进行专业核心课程建设的同时,要体现职普融通、产教融通和课证融通,即“三融通”。而“三融通”的课程体系构建的最终落脚点为有效的课证融通。文章利用PDCA循环,形成了药品经营与管理相关专业核心课程的“三融通”课程构建路径,在课程建设过程中注重课证充分融通,将药品购销职业技能等级证书的技能点与课程思政元素有效融入专业的各级各类课程中,并进行多元客观评价以及本土化人才培养。

纸品行业新型进销存管理系统的设计与实现

基于纸品行业进销存管理流程的全面分析,重点针对企业实际生产过程中传统进销存系统无法解决的10项问题,结合FireBird的稳定和开源特性,使用Delphi开发了一套新系统。实际使用结果显示,该系统帮助十几家纸品企业成功解决了管理难题,可适用于纸品、塑料等行业,具有较强的推广价值。

高速铁路预售期旅客购票量分布预测

在预售前(相隔31 d)预测高速铁路预售期旅客购票量分布是铁路企业精准进行收益管理的前提。基于高速铁路预售模式和旅客售票数据,分析预售期内各预售日旅客购票量的相关性,探究预售期旅客购票量分布的影响因素。综合考虑出发日特征以及旅客购票量分布时序特征的影响,构建了考虑多输出间关联性的最小二乘支持向量回归-卷积长短期记忆网络(MLSSVR-ConvLSTM)模型。以京沪高铁线路中上海虹桥站至北京南站、上海虹桥站至徐州东站、上海虹桥站至无锡东站这3种不同距离OD旅客为例,进行预售期旅客购票量分布预测实例分析。研究结果显示:MLSSVR-ConvLSTM模型预测结果较好地反映了真实的预售期旅客购票量分布的变化趋势,平均绝对百分比误差为6.7%~11.0%,预测效果优于多元线性回归(MLR)、K近邻回归(KN)、极致梯度提升算法(XGBoost)、支持向量回归机(SVM)、多输出最小二乘支持向量回归(MLSSVR)和卷积长短期记忆网络(ConvLSTM)等模型,验证了所提出模型的合理性和有效性。进而表明,在构建预售期旅客购票量分布预测模型时,考虑预售期旅客购票量分布整体性以及各类因素的综合影响可有效地提高模型预测精度。所提出的预售期旅客购票量分布预测模型可以为铁路企业制定动态票额分配和浮动票价等政策提供理论支撑。

从粮食购销领域违纪违法案例看我国粮食安全问题--基于价值链视角

在价值链视角下对粮食安全问题进行理论研究,之后基于粮食购销领域违纪违法典型案例,对粮库收购、存储、销售环节及其资金流、信息流、物资流进行分析,研究表明存在农民种粮积极性不高、粮库收购环节空子多、粮库亏库情况无底数、监管单位履职不到位、粮食安全意识不够强等影响粮食安全的问题,提出农业经营体系再丰富、订单收购制度再完善、智慧粮库建设再提速、监管单位责任再压实、粮食安全理念再传播的政策建议。

从实证视角看医药购销领域腐败问题治理对策

医药购销领域腐败作为医疗行业的痼疾顽症,不仅败坏行业风气,影响人民群众的健康获得感,而且阻碍“健康中国”战略目标的顺利实现。当前,医疗行业正掀起新一轮的反腐风暴,国家下决心集中整治医药领域腐败问题。从刑事司法判例的实证角度分析,我国医药购销领域腐败问题较为严重,其原因是复杂多元的,具有一定的行业性、历史性和系统性,需要内外兼治、综合施策。

考虑不确定性的周期性资源购买机制及多时间尺度调峰调度策略

合理的资源购买和有效的调度策略是充分利用需求响应资源向系统提供辅助服务的关键。该文针对电力系统运行中最常出现、影响也较大的辅助服务事件之一--调峰的需求响应资源周期性购买问题和日内调度问题进行研究。首先,对广大调峰事件的调峰需求特征进行聚类,利用概率描述调度中心不同的决策行为,建立周期内调节资源购买的不确定性模型并获取最优调节资源购买量。其次,针对日内调度,结合负荷预测,建立基于滚动优化的多时间尺度能量和功率协调调度策略。大时间尺度上以调度中心调峰经济性最优为目标对调节能量进行分配,小时间尺度上以调峰效果最优为目标对调节功率进行分配。仿真结果表明,所提周期性资源购买决策机制能够有效提升周期内调度中心的平均收益;而日内多时间尺度协调的调峰策略则能够充分利用已购资源,实现调度中心调峰经济性和调峰效果的双赢。

高铁列车动态定价与预售时段划分综合优化方法

立足高铁收益亟需提高和灵活化市场票价体制实施的背景,本文考虑需求在预售期内各天的波动性和差异性,以及预售时段划分方案对铁路收益的影响,研究高铁列车动态定价与预售时段划分的综合优化问题。为预售期内每天构建独立的弹性需求函数,考虑列车能力约束、需求约束及票价递增约束等条件,建立高铁列车动态定价与预售时段划分综合优化大规模非线性模型。根据模型特点,设计双层遗传—模拟退火算法求解,将优化问题分为外层预售时段划分、内层动态定价与票额分配的双层优化问题,内外两层分别采用遗传算法和模拟退火算法求解。最后,采用一个数值算例验证优化模型和求解算法的有效性,并探讨不同预售时段数量下的划分结果。结果表明,随预售时段数量的增加,预售期的划分主要集中在后半段;预售时段数量为5时,优化后,该数值算例的收益提高了约1.21%。

神经科学视角下在线图书选购研究

将图书在线信息分为“高评分高销量”“高评分低销量”“低评分高销量”“低评分低销量”四种情况,通过脑电技术记录读者对每种图书进行购买决策的认知过程和结果,从N200、N400以及晚正电位(Late Positive Potentinl,LPP)这三项脑电指标的变化中分析读者在“感知风险监测”“信息冲突分析”“选项价值评估”这三个决策阶段的神经活动,发现评分和销量信息显著影响读者的购买意愿,且信息不一致情形下,评分信息是影响购书决策的主导因素:在信息冲突分析阶段,高评分低销量引发的认知偏差更小;在选项价值评估阶段,高评分低销量引起的购买动机唤醒更加强烈;而在感知风险监测阶段,高评分低销量和低评分高销量引发的感知风险没有显著差异。

论销售在禁渔区或禁渔期非法捕捞渔获物的法律责任

由于现行《中华人民共和国渔业法》第三十八条第二款关于处罚销售在禁渔区或禁渔期非法捕捞的渔获物行为的罚则缺失,导致这种行为没有很好地受到法律规制,严重破坏了渔业资源的可持续发展。文章通过阐述销售禁渔区或禁渔期非法捕捞的渔获物行为的相关概念和危害,分析《渔业法》完善罚则的必要性,并提出法律责任的构成要素和立法建议。

基于双层委托代理的电网代理购电最优合同设计

为有效传导一次能源成本,工商业用户现已全部进入电力市场,不满足直接市场交易条件的用户由电网代理购电参与市场,并逐步缩小电网代理购电范围。为满足当前市场需求,需要设计电网代理购电最优合同,考虑用户选择电力市场代理商的决策,并激励用户授权售电公司参与市场。依据委托代理理论,提出了基于双层委托代理的电网代理购电最优合同设计,上层电网-用户委托代理模型描述了电网在用户收益最大化目标函数下的代理购电最优合同设计。下层用户-售电公司委托代理模型描述用户授权售电公司参与市场的博弈行为,并以此作为上层模型的用户激励约束。最后,通过算例验证了所提出模型的可用性,并基于对模型参数与优化结果的影响分析给出了模型参数测算和基于用户画像应用不同的电网代理购电合同的建议。

购售同期模式下的核心经营指标管理体系

充分收集了梳理国家电网公司、国网上海市电力公司相关的政策文件,深度解析了相关政策规划,并结合国家电网公司在售电量管理和线损压降的工作部署,明确了政策要求。基于购售同期政策执行后,分析了国网上海嘉定供电公司核心经营指标的管理现状,在此基础上讨论了基于“一系三支”体系下的核心指标监控情况。

住房限购、公众预期与房价调控——来自中国热点城市房地产市场的证据

本文以第二轮限购政策为研究对象,使用中国热点城市2015年1月至2021年4月二手房市场数据作为研究样本,采用多期DID联立方程研究政策实施、公众预期与房价调控之间关系。研究发现:第一,限购政策无显著效果,且限价政策会导致新建住宅和二手房房价倒挂。第二,政府出台限购政策主要考虑市场交易量、房价以及公众预期三个方面,是基于房地产市场活跃程度、居民承受的房价压力和政府面对的社会压力做出的决策。第三,公众预期会存在两种效应,即非理性预期的直接效应和舆论压力引致政府非理性决策的间接效应。第四,二线城市、京津冀城市群以及土地财政依赖度较强的城市实施的限购政策效果较差。

嘉兴市秋粮市场分析及晚稻轮换策略研究

在当前国内外粮食市场形势错综复杂的背景下,抓好秋粮收购工作是维护粮食市场稳定的现实需要,是保护种粮农民利益、端牢中国饭碗的实际行动。本文以中央储备粮嘉兴直属库的秋粮收购工作为例,介绍了嘉兴市秋粮收购形势调查、秋粮市场研判分析以及当地市场新情况新特点,最后提出了秋粮轮换购销工作开展的策略建议,包括监控市场动态、提高服务水平、优化轮入品种等策略。